2 papers
cs.NE2026
Beyond the Hamming Cliff: Compact Spatial Encodings Preserving Semantic Distance in Spiking Neural Networks
Sergio Davies, Muhammad Aitsam, Morgan-Tyler Stone +2
By pre-processing input signals with Gray, Thermometer, Johnson and hybrid encodings before passing them to spiking neural networks running on SpiNNaker hardware, Davies et al.(202…
cs.NE2023
Supervised learning of spatial features with STDP and homeostasis using Spiking Neural Networks on SpiNNaker
Sergio Davies, Andrew Gait, Andrew Rowley +1
Artificial Neural Networks (ANN) have gained significant popularity thanks to their ability to learn using the well-known backpropagation algorithm. Conversely, Spiking Neural Netw…